A survey and performance evaluation of deep learning methods for small object detection
In computer vision, significant advances have been made on object detection with the rapid
development of deep convolutional neural networks (CNN). This paper provides a …
development of deep convolutional neural networks (CNN). This paper provides a …
Recent advances in deep learning for object detection
Object detection is a fundamental visual recognition problem in computer vision and has
been widely studied in the past decades. Visual object detection aims to find objects of …
been widely studied in the past decades. Visual object detection aims to find objects of …
Bridging the gap between anchor-based and anchor-free detection via adaptive training sample selection
Object detection has been dominated by anchor-based detectors for several years.
Recently, anchor-free detectors have become popular due to the proposal of FPN and Focal …
Recently, anchor-free detectors have become popular due to the proposal of FPN and Focal …
Detectors: Detecting objects with recursive feature pyramid and switchable atrous convolution
Many modern object detectors demonstrate outstanding performances by using the
mechanism of looking and thinking twice. In this paper, we explore this mechanism in the …
mechanism of looking and thinking twice. In this paper, we explore this mechanism in the …
Deep high-resolution representation learning for visual recognition
High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
human pose estimation, semantic segmentation, and object detection. Existing state-of-the …
A review of object detection based on deep learning
With the rapid development of deep learning techniques, deep convolutional neural
networks (DCNNs) have become more important for object detection. Compared with …
networks (DCNNs) have become more important for object detection. Compared with …
High-resolution representations for labeling pixels and regions
High-resolution representation learning plays an essential role in many vision problems, eg,
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
pose estimation and semantic segmentation. The high-resolution network (HRNet)~\cite …
Detection and tracking meet drones challenge
Drones, or general UAVs, equipped with cameras have been fast deployed with a wide
range of applications, including agriculture, aerial photography, and surveillance …
range of applications, including agriculture, aerial photography, and surveillance …
Salient object detection in the deep learning era: An in-depth survey
As an essential problem in computer vision, salient object detection (SOD) has attracted an
increasing amount of research attention over the years. Recent advances in SOD are …
increasing amount of research attention over the years. Recent advances in SOD are …
M3d-rpn: Monocular 3d region proposal network for object detection
Understanding the world in 3D is a critical component of urban autonomous driving.
Generally, the combination of expensive LiDAR sensors and stereo RGB imaging has been …
Generally, the combination of expensive LiDAR sensors and stereo RGB imaging has been …